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A two-step iris recognition algorithm

机译:两步虹膜识别算法

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摘要

Starting from the goal to overcome the limitation of the single type algorithm of iris recognition. In this paper, a two-step iris recognition algorithm is proposed based on feature extraction on corner and Gabor transform. First of all, it uses the corner feature of iris texture to recognize for achieving the purpose of removal of alien and confirm the vast majority of similar samples rapidly; if it unabe to determine the category in the first step, the result of the first step is used as the initial angle in normalized phase, and then it carries out iris feature extraction and recognition based on Gabor transform/The experimental results show that this results the speed and performance in the recognition improved significantly than the traditional algorithm of single feature recognition.
机译:从目标开始克服单型虹膜识别算法的限制。本文基于角落和Gabor变换的特征提取,提出了一种两步虹膜识别算法。首先,它使用虹膜纹理的角色特征来识别达到外星人的目的,并迅速确认绝大多数类似样品;如果Unabe确定第一步中的类别,则第一步的结果用作归一化相中的初始角度,然后基于Gabor变换/实验结果表明这一结果识别中的速度和性能显着提高了传统的单一特征识别算法。

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